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Devices and Vaccines

Latest AI and machine learning research in devices and vaccines for healthcare professionals.

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Showing 253-273 of 3,914 articles
RVDLAHA: An RISC-V DLA Hardware Architecture for On-Device Real-Time Seizure Detection and Personalization in Wearable Applications.

Epilepsy is a globally distributed chronic neurological disorder that may pose a threat to life with...

SHASI-ML: a machine learning-based approach for immunogenicity prediction in vaccine development.

INTRODUCTION: Accurate prediction of immunogenic proteins is crucial for vaccine development and und...

Smart IoT-based snake trapping device for automated snake capture and identification.

The threat of snakebites to public health, particularly in tropical and subtropical regions, require...

ADR-DQPU: A Novel ADR Signal Detection Using Deep Reinforcement and Positive-Unlabeled Learning.

The medical community has grappled with the challenge of analysis and early detection of severe and ...

EEG Temporal-Spatial Feature Learning for Automated Selection of Stimulus Parameters in Electroconvulsive Therapy.

The risk of adverse effects in Electroconvulsive Therapy (ECT), such as cognitive impairment, can be...

Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology.

BACKGROUND: In Japan, reporting of medical device malfunctions and related health problems is mandat...

Systematic collection, annotation, and pattern analysis of viral vaccines in the VIOLIN vaccine knowledgebase.

BACKGROUND: Viral vaccines have been proven significant in protecting us against viral diseases such...

Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study.

BACKGROUND: Mumps is a viral respiratory disease characterized by facial swelling and transmitted th...

Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study.

: While shoulder injuries represent the musculoskeletal disorders (MSDs) most encountered in physica...

Cross-ViT based benign and malignant classification of pulmonary nodules.

The benign and malignant discrimination of pulmonary nodules plays a very important role in diagnosi...

Bioinspired Super-Robust Conductive Hydrogels for Machine Learning-Assisted Tactile Perception System.

Conductive hydrogels have attracted significant attention due to exceptional flexibility, electroche...

Multi-modal dataset creation for federated learning with DICOM-structured reports.

Purpose Federated training is often challenging on heterogeneous datasets due to divergent data stor...

Deep learning assisted prediction of osteogenic capability of orthopedic implant surfaces based on early cell morphology.

The surface modification of titanium (Ti) and its alloys is crucial for improving their osteogenic c...

Prediction of pink esthetic score using deep learning: A proof of concept.

OBJECTIVES: This study aimed to develop a deep learning (DL) model for the predictive esthetic evalu...

A three-dimensional marine plastic litter real-time detection embedded system based on deep learning.

Marine plastic pollution has emerged as a significant ecological and biological issue impacting glob...

Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis.

The vaccinia virus (VV) is extensively utilized as a vaccine vector in the treatment of various infe...

Machine-Learning Predictions of Cochlear Implant Functional Outcomes: A Systematic Review.

OBJECTIVES: Cochlear implant (CI) user functional outcomes are challenging to predict because of the...

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